This course navigates the increasingly quantitative landscape of environment and sustainability, highlighting the imperative for a robust understanding of statistical analysis in these fields. Designed to build a foundational knowledge base, it emphasizes the applied aspects of statistics, tailored to real-world application, over a deep dive into the theoretical underpinnings of statistical methods. Students will gain familiarity with R, a predominant statistical programming language, starting from the initial setup in the lab session. This course is accessible without prerequisites, ensuring a level playing field for all participants interested in harnessing the power of statistics in environmental disciplines. The course structure encompasses diverse learning modalities, including readings, lectures, labs, problem sets, and exams. The required course textbook serves as the primary source for readings, while supplementary materials can be found on the course’s Canvas website.